"hyperparameter" meaning in All languages combined

{
  "derived": [
    {
      "_dis1": "0 0",
      "word": "hyperparametric"
    }
  ],
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "hyper",
        "3": "parameter"
      },
      "expansion": "hyper- + parameter",
      "name": "prefix"
    }
  ],
  "etymology_text": "hyper- + parameter",
  "forms": [
    {
      "form": "hyperparameters",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "hyperparameter (plural hyperparameters)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "_dis1": "0 0",
      "word": "hyperprior"
    }
  ],
  "senses": [
    {
      "categories": [
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Statistics",
          "orig": "en:Statistics",
          "parents": [
            "Formal sciences",
            "Mathematics",
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        {
          "_dis": "50 50",
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          "name": "English entries with incorrect language header",
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          "source": "w+disamb"
        },
        {
          "_dis": "67 33",
          "kind": "other",
          "name": "English terms prefixed with hyper-",
          "parents": [],
          "source": "w+disamb"
        }
      ],
      "examples": [
        {
          "text": "this model has four hyperparameters",
          "type": "example"
        },
        {
          "ref": "2003, Gary Koop, Bayesian Econometrics, John Wiley & Sons Ltd., page 19",
          "text": "The exact interpretation of these hyperparameters becomes clearer once you have seen their role in the posterior and, hence, we defer a deeper discussion of prior elicitation until the next section.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis)."
      ],
      "id": "en-hyperparameter-en-noun-iAIeaQ-X",
      "links": [
        [
          "Bayesian",
          "Bayesian"
        ],
        [
          "statistics",
          "statistics"
        ],
        [
          "parameter",
          "parameter"
        ],
        [
          "prior",
          "prior"
        ],
        [
          "model",
          "model"
        ]
      ],
      "qualifier": "Bayesian statistics",
      "raw_glosses": [
        "(Bayesian statistics) A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis)."
      ],
      "translations": [
        {
          "_dis1": "70 30",
          "code": "fi",
          "lang": "Finnish",
          "sense": "in Bayesian statistics, a parameter of a prior",
          "word": "hyperparametri"
        },
        {
          "_dis1": "70 30",
          "code": "fr",
          "lang": "French",
          "sense": "in Bayesian statistics, a parameter of a prior",
          "word": "hyperparamètre"
        },
        {
          "_dis1": "70 30",
          "code": "de",
          "lang": "German",
          "sense": "in Bayesian statistics, a parameter of a prior",
          "tags": [
            "masculine"
          ],
          "word": "Hyperparameter"
        },
        {
          "_dis1": "70 30",
          "code": "pt",
          "lang": "Portuguese",
          "sense": "in Bayesian statistics, a parameter of a prior",
          "tags": [
            "masculine"
          ],
          "word": "hiperparâmetro"
        }
      ]
    },
    {
      "categories": [
        {
          "kind": "topical",
          "langcode": "en",
          "name": "Artificial intelligence",
          "orig": "en:Artificial intelligence",
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            "Cybernetics",
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            "Mathematics",
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            "Formal sciences",
            "Interdisciplinary fields",
            "Society"
          ],
          "source": "w"
        },
        {
          "_dis": "50 50",
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w+disamb"
        }
      ],
      "examples": [
        {
          "ref": "2016, Ian Goodfellow, Yoshua Bengio, Aaron Courville, chapter 11, in Deep Learning, MIT Press, page 420",
          "text": "The ideal learning algorithm just takes a dataset and outputs a function, without requiring hand tuning of hyperparameters.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A parameter whose value is set before the learning process begins."
      ],
      "id": "en-hyperparameter-en-noun-KljUWOIE",
      "links": [
        [
          "machine learning",
          "machine learning"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A parameter whose value is set before the learning process begins."
      ]
    }
  ],
  "word": "hyperparameter"
}

{
  "categories": [
    "English countable nouns",
    "English entries with incorrect language header",
    "English lemmas",
    "English nouns",
    "English terms prefixed with hyper-"
  ],
  "derived": [
    {
      "word": "hyperparametric"
    }
  ],
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "hyper",
        "3": "parameter"
      },
      "expansion": "hyper- + parameter",
      "name": "prefix"
    }
  ],
  "etymology_text": "hyper- + parameter",
  "forms": [
    {
      "form": "hyperparameters",
      "tags": [
        "plural"
      ]
    }
  ],
  "head_templates": [
    {
      "args": {},
      "expansion": "hyperparameter (plural hyperparameters)",
      "name": "en-noun"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "noun",
  "related": [
    {
      "word": "hyperprior"
    }
  ],
  "senses": [
    {
      "categories": [
        "English terms with quotations",
        "English terms with usage examples",
        "en:Statistics"
      ],
      "examples": [
        {
          "text": "this model has four hyperparameters",
          "type": "example"
        },
        {
          "ref": "2003, Gary Koop, Bayesian Econometrics, John Wiley & Sons Ltd., page 19",
          "text": "The exact interpretation of these hyperparameters becomes clearer once you have seen their role in the posterior and, hence, we defer a deeper discussion of prior elicitation until the next section.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis)."
      ],
      "links": [
        [
          "Bayesian",
          "Bayesian"
        ],
        [
          "statistics",
          "statistics"
        ],
        [
          "parameter",
          "parameter"
        ],
        [
          "prior",
          "prior"
        ],
        [
          "model",
          "model"
        ]
      ],
      "qualifier": "Bayesian statistics",
      "raw_glosses": [
        "(Bayesian statistics) A parameter of a prior (as distinguished from inferred parameters of the model for the underlying system under analysis)."
      ]
    },
    {
      "categories": [
        "English terms with quotations",
        "en:Artificial intelligence"
      ],
      "examples": [
        {
          "ref": "2016, Ian Goodfellow, Yoshua Bengio, Aaron Courville, chapter 11, in Deep Learning, MIT Press, page 420",
          "text": "The ideal learning algorithm just takes a dataset and outputs a function, without requiring hand tuning of hyperparameters.",
          "type": "quotation"
        }
      ],
      "glosses": [
        "A parameter whose value is set before the learning process begins."
      ],
      "links": [
        [
          "machine learning",
          "machine learning"
        ]
      ],
      "qualifier": "machine learning",
      "raw_glosses": [
        "(machine learning) A parameter whose value is set before the learning process begins."
      ]
    }
  ],
  "translations": [
    {
      "code": "fi",
      "lang": "Finnish",
      "sense": "in Bayesian statistics, a parameter of a prior",
      "word": "hyperparametri"
    },
    {
      "code": "fr",
      "lang": "French",
      "sense": "in Bayesian statistics, a parameter of a prior",
      "word": "hyperparamètre"
    },
    {
      "code": "de",
      "lang": "German",
      "sense": "in Bayesian statistics, a parameter of a prior",
      "tags": [
        "masculine"
      ],
      "word": "Hyperparameter"
    },
    {
      "code": "pt",
      "lang": "Portuguese",
      "sense": "in Bayesian statistics, a parameter of a prior",
      "tags": [
        "masculine"
      ],
      "word": "hiperparâmetro"
    }
  ],
  "word": "hyperparameter"
}